Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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Your company is building a unified analytics environment spanning a variety of on-premises data marts. The organization is currently facing significant data quality and security challenges during data integration due to using a wide range of disconnected tools and temporary solutions. The goal is to identify a fully managed, cloud-native data integration service that will reduce the overall cost of operations and minimize repetitive tasks. Furthermore, some team members prefer using a codeless interface for developing Extract, Transform, Load (ETL) processes. Given these requirements, which service should you choose?